code: def get_prompt_template_example(special_tokens):
      source = {
          "system": "{system message}",
          "conversations": [
              {
                  "from": "User",
                  "value": "{turn 1 user message}",
                  "label": None,
              },
              {
                  "from": "Assistant",
                  "value": "{turn 1 assistant message}",
                  "label": "{turn 1 assistant label}",
              },
              {
                  "from": "User",
                  "value": "{turn 2 user message}",
                  "label": None,
              },
              {
                  "from": "Assistant",
                  "value": "{turn 2 assistant message}",
                  "label": "{turn 2 assistant label}",
              },
          ],
          "mask": "User",
          "type": "VALUE_TO_TEXT",
      }
      _, conversation, _, _ = _get_header_conversation_type_mask_role(
          source, special_tokens
      )
      return conversation
  
file_path: NeMo/nemo/collections/nlp/data/language_modeling/megatron/gpt_sft_chat_dataset.py
imports: import copy
  import torch
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.collections.nlp.data.language_modeling.megatron.gpt_sft_dataset import GPTSFTDataset
  from nemo.utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: get_prompt_template_example(special_tokens) and returns: conversation